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Diffstat (limited to 'docs/mllib-ensembles.md')
| -rw-r--r-- | docs/mllib-ensembles.md | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/docs/mllib-ensembles.md b/docs/mllib-ensembles.md index 2416b6fa0a..5543262a89 100644 --- a/docs/mllib-ensembles.md +++ b/docs/mllib-ensembles.md @@ -9,7 +9,7 @@ displayTitle: Ensembles - spark.mllib An [ensemble method](http://en.wikipedia.org/wiki/Ensemble_learning) is a learning algorithm which creates a model composed of a set of other base models. -`spark.mllib` supports two major ensemble algorithms: [`GradientBoostedTrees`](api/scala/index.html#org.apache.spark.mllib.tree.GradientBoostedTrees) and [`RandomForest`](api/scala/index.html#org.apache.spark.mllib.tree.RandomForest). +`spark.mllib` supports two major ensemble algorithms: [`GradientBoostedTrees`](api/scala/index.html#org.apache.spark.mllib.tree.GradientBoostedTrees) and [`RandomForest`](api/scala/index.html#org.apache.spark.mllib.tree.RandomForest$). Both use [decision trees](mllib-decision-tree.html) as their base models. ## Gradient-Boosted Trees vs. Random Forests @@ -96,7 +96,7 @@ The test error is calculated to measure the algorithm accuracy. <div class="codetabs"> <div data-lang="scala" markdown="1"> -Refer to the [`RandomForest` Scala docs](api/scala/index.html#org.apache.spark.mllib.tree.RandomForest) and [`RandomForestModel` Scala docs](api/scala/index.html#org.apache.spark.mllib.tree.model.RandomForestModel) for details on the API. +Refer to the [`RandomForest` Scala docs](api/scala/index.html#org.apache.spark.mllib.tree.RandomForest$) and [`RandomForestModel` Scala docs](api/scala/index.html#org.apache.spark.mllib.tree.model.RandomForestModel) for details on the API. {% include_example scala/org/apache/spark/examples/mllib/RandomForestClassificationExample.scala %} </div> @@ -127,7 +127,7 @@ The Mean Squared Error (MSE) is computed at the end to evaluate <div class="codetabs"> <div data-lang="scala" markdown="1"> -Refer to the [`RandomForest` Scala docs](api/scala/index.html#org.apache.spark.mllib.tree.RandomForest) and [`RandomForestModel` Scala docs](api/scala/index.html#org.apache.spark.mllib.tree.model.RandomForestModel) for details on the API. +Refer to the [`RandomForest` Scala docs](api/scala/index.html#org.apache.spark.mllib.tree.RandomForest$) and [`RandomForestModel` Scala docs](api/scala/index.html#org.apache.spark.mllib.tree.model.RandomForestModel) for details on the API. {% include_example scala/org/apache/spark/examples/mllib/RandomForestRegressionExample.scala %} </div> |